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08/10/2023
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
Channel modelling is essential to designing modern wireless communicatio...
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06/01/2023
Image generation with shortest path diffusion
The field of image generation has made significant progress thanks to th...
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02/01/2023
Sample Complexity of Kernel-Based Q-Learning
Modern reinforcement learning (RL) often faces an enormous state-action ...
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02/01/2023
Delayed Feedback in Kernel Bandits
Black box optimisation of an unknown function from expensive and noisy e...
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02/08/2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Kernel-based models such as kernel ridge regression and Gaussian process...
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09/13/2021
Uniform Generalization Bounds for Overparameterized Neural Networks
An interesting observation in artificial neural networks is their favora...
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08/20/2021
Optimal Order Simple Regret for Gaussian Process Bandits
Consider the sequential optimization of a continuous, possibly non-conve...
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06/15/2021
Natural continual learning: success is a journey, not (just) a destination
Biological agents are known to learn many different tasks over the cours...
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03/15/2021
How to distribute data across tasks for meta-learning?
Meta-learning models transfer the knowledge acquired from previous tasks...
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03/08/2021
Meta-Learning with MAML on Trees
In meta-learning, the knowledge learned from previous tasks is transferr...
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02/01/2021
Meta-learning with negative learning rates
Deep learning models require a large amount of data to perform well. Whe...
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12/11/2020
Cyclic orthogonal convolutions for long-range integration of features
In Convolutional Neural Networks (CNNs) information flows across a small...
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05/13/2011
